[HTML][HTML] Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

[HTML][HTML] Consumer marketing strategy and E-commerce in the last decade: a literature review

A Rosário, R Raimundo - Journal of theoretical and applied electronic …, 2021 - mdpi.com
E-commerce is deemed as the sale and purchase of goods and services through the internet
in exchange for money and data transfer to complete the transactions. E-commerce is at the …

Is chatgpt a good recommender? a preliminary study

J Liu, C Liu, P Zhou, R Lv, K Zhou, Y Zhang - arXiv preprint arXiv …, 2023 - arxiv.org
Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …

[HTML][HTML] Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

Ecomgpt: Instruction-tuning large language models with chain-of-task tasks for e-commerce

Y Li, S Ma, X Wang, S Huang, C Jiang… - Proceedings of the …, 2024 - ojs.aaai.org
Recently, instruction-following Large Language Models (LLMs), represented by ChatGPT,
have exhibited exceptional performance in general Natural Language Processing (NLP) …

Llmrec: Benchmarking large language models on recommendation task

J Liu, C Liu, P Zhou, Q Ye, D Chong, K Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has
significantly advanced NLP tasks by enhancing the capabilities of conversational models …

ReCANet: A repeat consumption-aware neural network for next basket recommendation in grocery shopping

M Ariannezhad, S Jullien, M Li, M Fang… - Proceedings of the 45th …, 2022 - dl.acm.org
Retailers such as grocery stores or e-marketplaces often have vast selections of items for
users to choose from. Predicting a user's next purchases has gained attention recently, in …

[HTML][HTML] The impact of AI technologies on e-business

MJ Castillo, H Taherdoost - Encyclopedia, 2023 - mdpi.com
Definition The outbreak of COVID-19 has entirely changed how consumers behave, due to
an over-reliance on online shopping. With the global pandemic demanding people to stay …

[HTML][HTML] Contrastive language and vision learning of general fashion concepts

PJ Chia, G Attanasio, F Bianchi, S Terragni… - Scientific Reports, 2022 - nature.com
The steady rise of online shopping goes hand in hand with the development of increasingly
complex ML and NLP models. While most use cases are cast as specialized supervised …

Linking between brand leadership, customer satisfaction, and repurchase intention in the e-commerce industry

D Novitasari, BBJ Napitupulu, S Abadiyah… - International Journal of …, 2022 - ijosmas.org
The purpose of this study is to investigate the effect of brand leadership (which consists of
the dimensions of quality, value, innovation, and popularity) perceived by consumers of an e …